
Senior Consultant, Data Science
Posted Sep 8

Posted Sep 8
This is a fully remote position, open to applicants in Costa Rica.
• Oversee the design and implementation of intricate machine learning, advanced analytics, and artificial intelligence solutions.
• Set technical standards, reusable best practices, and solution-design methodologies.
• Provide technical guidance across multiple projects.
• Manage the comprehensive delivery of strategic initiatives from problem identification and analytical design to production execution and continuous improvement.
• Assess emerging technologies and pinpoint opportunities to enhance automation and analytical capabilities.
• Collaborate with Product, Engineering, and business leaders on technical solutions and cross-functional program execution.
• Present analytical insights, business implications, and recommendations to both technical and non-technical audiences.
• Mentor and guide team members, lead knowledge-sharing sessions, and contribute technical expertise to recruitment efforts.
• Shape technical and strategic choices across teams and business functions.
• A bachelor’s degree or higher in a quantitative discipline, or equivalent knowledge and experience related to data science, machine learning, or advanced analytics.
• Four to six years of experience in data science, machine learning, advanced analytics, or a related field.
• Proven experience leading complex analytics or machine learning projects through design, development, implementation, and delivery.
• Experience in providing technical mentorship, guiding colleagues, and fostering knowledge development within a team.
• Ability to translate intricate business challenges into analytical solutions and convey recommendations to a variety of stakeholders.
• Advanced expertise in machine learning and statistical modeling.
• High proficiency in Python and Structured Query Language (SQL).
• Familiarity with BigQuery and contemporary machine learning tools or ecosystems.
• Experience with cloud-based artificial intelligence and data platforms.
• Proven track record of developing scalable, production-quality machine learning solutions that meet quality and performance standards.
• Flexibility in work/life balance.
• Resources for global teams to collaborate and achieve excellence.
• Support for career development and growth.
• Opportunities for professional development.
• Arrangement for remote work.
• Occasional in-person participation in work-related events at management’s discretion.
HighLevel
HighLevel
Brown and Caldwell
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